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ARSLAN VUZMAL LONEAI & Systems Engineer
ARSLAN VUZMAL LONE // SYSTEMS RUNTIME & ARCHITECTURE ENGINE

Systems Architecture & Latency Engine

Deterministic runtime specifications, verifiable latency SLA benchmarks, and production-tested architecture topologies across multi-agent orchestration, hybrid RAG, and AI gateways.

Gateway Overhead< 12ms
Voice Pipeline SLA420ms
PII Scrubbing< 4.8ms
Schema Precision100.0%
PRODUCTION LATENCY & THROUGHPUT SPECIFICATIONSBenchmark Environment: Ubuntu 24.04 LTS / AMD EPYC / Redis 7.2
System SubsystemTarget Workloadp50p95p99Availability SLAEnforced Guardrail
LangGraph Supervisor Grapharslanvuzmal/AutomataXComplex multi-step analytical reasoning380ms640ms820ms99.95%Pydantic v2 Schema Enforcement
ModelSwitchyard AI Gatewayarslanvuzmal/ModelSwitchyardDynamic cost/latency routing & fallback12ms (Hit) / 48ms (Miss)68ms110ms99.99%Circuit Breaker & Redis Cache
EmbeddingGalaxy Hybrid RAGarslanvuzmal/EmbeddingGalaxypgvector Cosine + BM25 + BGE Rerank110ms165ms210ms99.90%Cross-Encoder Citation Validator
VoxCircuit Telephony Agentarslanvuzmal/VoxCircuitFull-duplex streaming voice loop420ms480ms520ms99.90%Silero VAD Zero-Jitter SLA
OmniMessaging Ingestionarslanvuzmal/omni-agentic-messagingWhatsApp Webhook + Presidio NER PII scrubbing4.8ms12.4ms18.0ms99.99%Zero-Trust Data Redaction Vault
AutomataX Event Pipelinearslanvuzmal/AutomataXDistributed webhook dispatch + Python ETL18ms35ms52ms99.99%Redis Sliding-Window Idempotency
Determinism Protocol: All benchmarks are measured under continuous synthetic load (2,500 req/min) with p99 latency thresholds governed by circuit breakers. Payloads exceeding SLA limits trigger automatic graceful fallback to secondary cache layers.

Need high-throughput, deterministic AI architecture for your stack?

Schedule an architecture discovery session with Arslan Vuzmal Lone to review your current infrastructure benchmarks.